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IJON
2006
146views more  IJON 2006»
15 years 6 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
CORR
2007
Springer
95views Education» more  CORR 2007»
15 years 6 months ago
Resampling methods for parameter-free and robust feature selection with mutual information
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
Damien François, Fabrice Rossi, Vincent Wer...
TWC
2008
117views more  TWC 2008»
15 years 6 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
WEBI
2010
Springer
15 years 4 months ago
Exploiting Puzzle Diversity in Puzzle Selection for ESP-Like GWAP Systems
The ESP game belongs to the genre called Games with a Purpose (GWAP), which leverage people's desire to be entertained and also outsource certain steps of the computational p...
Yu-Song Syu, Hsiao-Hsuan Yu, Ling-Jyh Chen
ICARIS
2010
Springer
15 years 3 months ago
An Information-Theoretic Approach for Clonal Selection Algorithms
In this research work a large set of the classical numerical functions were taken into account in order to understand both the search capability and the ability to escape from a lo...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, ...